.png){kind=icon}
Return
Convergence and errors in turbo-decoding
.png){kind=icon}
PRE
AI
DOI：10.1109/26.974246.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Turbo-codes are decoded using iterative decoding algorithms with somewhat elusive convergence properties. In this paper, the modes of convergence observed in an extensive series of turbo-code simulations are categorized by examining the bit convergence behavior for each frame. Based on these results, a new method for decoder termination based on average log-likelihood ratios is presented and compared with other methods. As an application, a selective repeat automatic repeat request (ARQ) system is considered.
Keywords:
decoder convergence
iterative decoding
log-likelihood
decoding
stopping criterion
turbo-codes
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
8.3
Papers:
1.2W
Citations:
3.6W
Organization
No organization information available
Cited Papers
Redox Titration of All Electron Carriers of Cytochrome c Oxidase by Fourier Transform Infrared Spectroscopy.png)
Biochemistry
BiochemistryIF0
PREAI
ShareSaveCrystal and molecular structure of C.I. Solvent Yellow 2, 1-phenylazo-4 (N,N-dimethylamine)-phenyl
PREAI
ShareSaveShareSaveShareSaveShareSaveRelation of Heart Rate and Systolic Blood Pressure to the Onset of Pain in Angina PectorisCirculation
OAAI
CirculationIF0
OAAIShareSaveShareSaveShareSave
View more